Method and device for real-time monitoring of temperature, pressure three-dimensional volume cloud in closed shell

Abstract

The application discloses a real-time monitoring method and device for a temperature and pressure three-dimensional volume cloud chart in a closed shell, obtains the temperature and pressure distribution law of the shell when the temperature and pressure in the closed shell are increased through simulation, establishes a temperature and pressure three-dimensional layered model based on the temperature and pressure distribution law, determines the arrangement of temperature sensor monitoring points and pressure sensor monitoring points in the shell according to the temperature and pressure three-dimensional layered model, obtains collected temperature data and pressure data, pre-processes the temperature data and pressure data, then determines the temperature and pressure volume cloud chart data of each layer, inputs the pre-processed temperature data and pressure data and the temperature and pressure volume cloud chart data of each layer into a space gas three-dimensional finite element model, performs cloud chart rendering, obtains a temperature and pressure three-dimensional volume cloud chart, and sends the temperature and pressure three-dimensional volume cloud chart to a monitoring platform. The application solves the problem of inaccurate temperature and pressure display in traditional temperature and pressure monitoring.

Description

Technical Field

[0001] This invention relates to the field of monitoring technology, and in particular to a method and device for real-time monitoring of three-dimensional volume cloud maps of temperature and pressure inside a closed shell. Background Technology

[0002] Under severe accident conditions, the nuclear power plant containment vessel is subjected to high temperature and high pressure simultaneously. It is necessary to assess the condition of the containment vessel based on the internal temperature and pressure conditions in order to carry out the next power plant control operation, so as to ensure the safe shutdown of the nuclear power plant and prevent nuclear leakage and other accident consequences. Therefore, the three-dimensional dynamic temperature and pressure monitoring system proposed in this paper has a very important application in the monitoring of nuclear power plant containment vessels.

[0003] In current practical engineering, temperature and pressure monitoring involves collecting data from scattered sensors located at various locations, averaging the collected data, or selecting data from representative sensors to represent the actual internal temperature and pressure. This method has the following limitations.

[0004] (1) It cannot display monitoring data in real time, and data processing is delayed when an accident occurs, and it cannot quickly respond to the power plant status assessment needs.

[0005] (2) Taking the average value or a local representative position as the shell temperature and pressure value cannot accurately reflect the true temperature and pressure distribution inside the shell.

[0006] (3) The user interface is not user-friendly and has high requirements for power plant operation and maintenance personnel, which can easily lead to human error. Summary of the Invention

[0007] To address the shortcomings of existing shell temperature and pressure monitoring technologies, this invention provides a method and device for real-time monitoring of temperature and pressure in a closed shell using a three-dimensional volumetric cloud map. This method and device can be used for operational health monitoring of the containment structure in nuclear power plants, as well as for similar temperature and pressure monitoring work in closed shells. It solves problems such as data processing lag, inaccurate temperature and pressure value display, and unfriendly user interface in current temperature and pressure monitoring.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] In a first aspect, the present invention provides a method for real-time monitoring of temperature and pressure in a three-dimensional volumetric cloud map within a sealed housing, comprising:

[0010] The temperature and pressure distribution patterns of the sealed shell during heating and pressurization are obtained through simulation. Based on these temperature and pressure distribution patterns, a three-dimensional temperature layering model and a three-dimensional pressure layering model are established.

[0011] Based on the three-dimensional temperature stratification model and the three-dimensional pressure stratification model, the arrangement of temperature sensor monitoring points and pressure sensor monitoring points inside the housing is determined.

[0012] Acquire temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point;

[0013] The temperature data and pressure data are preprocessed, and based on the preprocessed temperature data and pressure data, the temperature volume cloud map data and pressure volume cloud map data of each layer are determined.

[0014] The preprocessed pressure and temperature data, the preprocessed pressure data, and the temperature and pressure volume cloud map data of each layer are input into the three-dimensional finite element model of the space gas for cloud map rendering to obtain the three-dimensional temperature and pressure volume cloud maps.

[0015] The three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure are sent to the monitoring platform.

[0016] In one possible implementation, the pressure volume contour map data is determined by the following formula:

[0017]

[0018] Where YL_layer_i is the pressure volume contour map data of the i-th layer, V j YL_j represents the volume percentage of the j-th pressure sensor in the i-th layer, YL_j represents the pressure data on the j-th pressure sensor, and N represents the total number of pressure sensors in the i-th layer.

[0019] In one possible implementation, the temperature volume contour map data is determined by the following formula:

[0020]

[0021] Where WD_layer_i represents the temperature volumetric cloud map data of the i-th layer, v k WD_k represents the volume percentage of the k-th pressure sensor in the i-th layer, WD_k represents the temperature data on the k-th temperature sensor, and M represents the total number of temperature sensors in the i-th layer.

[0022] In one possible implementation, the preprocessing of the temperature data and the pressure data includes:

[0023] Abnormal data in the temperature and pressure data are removed, and missing data is imputed.

[0024] In one possible implementation, the method further includes:

[0025] The preprocessed temperature data and the preprocessed pressure data are sent to the monitoring platform.

[0026] Secondly, the present invention provides a real-time monitoring device for three-dimensional volume cloud maps of temperature and pressure inside a closed shell, the device comprising:

[0027] The model building module obtains the temperature and pressure distribution patterns of the shell during heating and pressurization through simulation, and establishes a three-dimensional temperature layered model and a three-dimensional pressure layered model based on the temperature and pressure distribution patterns.

[0028] The monitoring point layout module is used to determine the layout of the temperature sensor monitoring points and the pressure sensor monitoring points inside the housing based on the three-dimensional temperature layering model and the three-dimensional pressure layering model.

[0029] The data acquisition module is used to acquire temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point.

[0030] The processing module is used to preprocess the temperature data and the pressure data, and based on the preprocessed temperature data and the preprocessed pressure data, determine the temperature volume cloud map data and pressure volume cloud map data of each layer.

[0031] The cloud map rendering module is used to input the preprocessed pressure and temperature data, the preprocessed pressure data, and the temperature volume cloud map data and pressure volume cloud map data of each layer into the three-dimensional finite element model of the space gas to perform cloud map rendering and obtain the temperature three-dimensional volume cloud map and the pressure three-dimensional volume cloud map.

[0032] The sending module is used to send the three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure to the monitoring platform.

[0033] In one possible implementation, the pressure volume contour map data is determined by the following formula:

[0034]

[0035] Where YL_layer_i is the pressure volume contour map data of the i-th layer, V j YL_j represents the volume percentage of the j-th pressure sensor in the i-th layer, YL_j represents the temperature data on the j-th pressure sensor, and N represents the total number of pressure sensors in the i-th layer.

[0036] In one possible implementation, the temperature volume contour map data is determined by the following formula:

[0037]

[0038] Where WD_layer_i represents the temperature volumetric cloud map data of the i-th layer, v k WD_k represents the volume percentage of the k-th pressure sensor in the i-th layer, WD_k represents the temperature data on the k-th temperature sensor, and M represents the total number of temperature sensors in the i-th layer.

[0039] Thirdly, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0040] Memory, used to store computer programs;

[0041] When the processor executes a program stored in the memory, it implements the steps of the method for real-time monitoring of three-dimensional volume cloud maps of temperature and pressure inside a closed housing as described in any embodiment of the first aspect.

[0042] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed by a processor, the steps of the method for real-time monitoring of three-dimensional volume cloud maps of temperature and pressure inside a closed housing as described in any embodiment of the first aspect are implemented.

[0043] The technical solutions provided in this application have the following advantages compared with the prior art:

[0044] The real-time monitoring method for three-dimensional volumetric cloud maps of temperature and pressure inside a closed shell provided in this application involves obtaining the temperature and pressure distribution patterns of the shell during heating and pressurization through simulation, and establishing three-dimensional temperature and pressure layered models based on these patterns. The arrangement of temperature and pressure sensor monitoring points within the shell is determined according to these models. Temperature data collected by the temperature sensor monitoring points and pressure data collected by the pressure sensor monitoring points are acquired. The temperature and pressure data are preprocessed, and based on the preprocessed data, temperature and pressure volumetric cloud map data for each layer are determined. The preprocessed temperature and pressure data, along with the temperature and pressure volumetric cloud map data for each layer, are input into a three-dimensional finite element model of the space gas for cloud map rendering to obtain the three-dimensional temperature and pressure volumetric cloud maps. Finally, the three-dimensional temperature and pressure volumetric cloud maps are sent to a monitoring platform. This method can solve the problems of data processing lag and inaccurate temperature and pressure value display in current temperature and pressure monitoring. It can be applied to the operational health monitoring of nuclear power plant containment facilities or to similar temperature and pressure monitoring work in enclosed structures. Attached Figure Description

[0045] Figure 1 A simplified flowchart of the method for real-time monitoring of three-dimensional volume cloud map of temperature and pressure inside a closed shell provided in an embodiment of the present invention;

[0046] Figure 2 A schematic diagram of the real-time monitoring method for three-dimensional volume cloud map of temperature and pressure inside a closed shell provided in an embodiment of the present invention;

[0047] Figure 3 A schematic diagram of the three-dimensional temperature layer model, the three-dimensional pressure layer model, and the arrangement of pressure sensors;

[0048] Figure 4 Top view of the dome temperature sensor;

[0049] Figure 5 This is a cross-sectional layout diagram of the 0-180° sensor;

[0050] Figure 6 This is a cross-sectional layout diagram of the sensor from 90° to 270°.

[0051] Figure 7 A schematic diagram of a three-dimensional finite element model of space gas provided in an embodiment of the present invention;

[0052] Figure 8 This is a schematic diagram of sensor location in a three-dimensional finite element model of space gas, where A is the sensor monitoring point and B is a unit diagram used for rendering space gas cloud maps.

[0053] Figure 9 Architecture diagram of a closed-shell temperature and pressure monitoring platform;

[0054] Figure 10 Schematic diagram of a three-dimensional volume cloud map real-time monitoring device for temperature and pressure inside a sealed shell;

[0055] Figure 11 This is a schematic diagram of an electronic device structure provided in an embodiment of the present invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0058] To facilitate understanding of the embodiments of the present invention, further explanations and descriptions will be provided below with reference to the accompanying drawings and specific embodiments. These embodiments do not constitute a limitation on the embodiments of the present invention.

[0059] To address the technical problems mentioned in the background section, this application provides a method for real-time monitoring of three-dimensional volumetric cloud maps of temperature and pressure within a sealed enclosure. This method is executed by a sealed enclosure temperature and pressure monitoring system. See details below. Figure 1 and Figure 2 As shown, the method for real-time monitoring of temperature and pressure in a closed enclosure using a three-dimensional volumetric cloud map includes the following steps:

[0060] Step 110: Obtain the temperature distribution and pressure distribution patterns of the shell during the heating and pressurization process inside the closed shell through simulation, and establish a three-dimensional temperature layering model and a three-dimensional pressure layering model based on the temperature distribution and pressure distribution patterns.

[0061] The closed shell was heated and pressurized through simulation, and the temperature and pressure distributions were obtained. Based on the obtained distributions, the temperature and pressure distribution patterns were determined, and based on the distribution patterns, three-dimensional temperature and pressure stratification models were established.

[0062] During the pressure and temperature increase within a sealed shell, the pressure distribution exhibits a pattern of high pressure around the released pressure area, gradually decreasing towards the surrounding space according to distance. Conversely, during the temperature increase, due to the lower density of hot air, it rises towards the top of the shell and accumulates. Therefore, the pressure distribution model is based on the following pressure distribution law: starting from the pressure loading area, the pressure decreases linearly towards the surrounding space according to distance. The temperature stratification model is based on the following temperature distribution law: decreasing sequentially from top to bottom within the shell.

[0063] Step 120: Based on the three-dimensional temperature stratification model and the three-dimensional pressure stratification model, determine the arrangement of the temperature sensor monitoring points and the pressure sensor monitoring points inside the housing.

[0064] Specifically, the temperature sensor monitoring points and pressure sensor monitoring points are arranged according to the pressure distribution law and temperature distribution law, and are evenly distributed in the layered direction inside the shell according to the shape of the shell, so that the arrangement of the temperature sensor monitoring points and pressure sensor monitoring points can cover the entire shell structure.

[0065] Step 130: Obtain temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point.

[0066] Step 140: Preprocess the temperature and pressure data, and based on the preprocessed temperature and pressure data, determine the temperature volumetric cloud map data and pressure volumetric cloud map data for each layer.

[0067] Specifically, the temperature and pressure data are preprocessed, including: removing abnormal data from the temperature and pressure data, and interpolating missing data.

[0068] The pressure volume contour map data for each layer is determined using the following formula:

[0069]

[0070] Where YL_layer_i is the pressure volume contour map data of the i-th layer, V j YL_j represents the volume percentage of the j-th pressure sensor in the i-th layer, YL_j represents the pressure data on the j-th pressure sensor, and N represents the total number of pressure sensors in the i-th layer.

[0071] The temperature volume contour map data for each layer are determined using the following formula:

[0072]

[0073] Where WD_layer_i represents the temperature volumetric cloud map data of the i-th layer, v k WD_k represents the volume percentage of the k-th pressure sensor in the i-th layer, WD_k represents the temperature data on the k-th temperature sensor, and M represents the total number of temperature sensors in the i-th layer.

[0074] Step 150: Input the preprocessed pressure-temperature data, preprocessed pressure data, and temperature-volume cloud map data and pressure-volume cloud map data of each layer into the three-dimensional finite element model of the space gas, and perform cloud map rendering to obtain the three-dimensional temperature-volume cloud map and the three-dimensional pressure-volume cloud map.

[0075] Specifically, a three-dimensional finite element model of the space gas is established, and then based on...

[0076] Step 160: Send the three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure to the monitoring platform.

[0077] To allow users to view the dynamics of the three-dimensional volumetric cloud maps of temperature and pressure, these maps are sent to the monitoring platform and displayed to users through the user interface.

[0078] In one example, to enable the monitoring platform to update and view temperature and pressure data in real time, pre-processed temperature and pressure data are sent to the monitoring platform and displayed to the user through the user interface.

[0079] The real-time monitoring method for three-dimensional volumetric cloud maps of temperature and pressure inside a closed shell provided in this invention obtains the temperature and pressure distribution patterns of the shell during heating and pressurization through simulation, and establishes three-dimensional temperature and pressure layered models based on these patterns. The arrangement of temperature and pressure sensor monitoring points within the shell is determined according to these models. Temperature data collected by the temperature sensor monitoring points and pressure data collected by the pressure sensor monitoring points are acquired. The temperature and pressure data are preprocessed, and based on the preprocessed temperature and pressure data, temperature and pressure volumetric cloud map data for each layer are determined. The preprocessed temperature and pressure data, along with the temperature and pressure volumetric cloud map data for each layer, are input into a three-dimensional finite element model of the space gas for cloud map rendering to obtain the three-dimensional temperature and pressure volumetric cloud maps. Finally, the three-dimensional temperature and pressure volumetric cloud maps are sent to a monitoring platform. This method can solve the problems of data processing lag and inaccurate temperature and pressure value display in current temperature and pressure monitoring. It can be applied to the operational health monitoring of nuclear power plant containment facilities or to similar temperature and pressure monitoring work in enclosed structures.

[0080] The above are embodiments of the real-time monitoring method for three-dimensional volume cloud maps of temperature and pressure inside a closed shell provided in this application. The following will use the above method as an example for illustration:

[0081] Figure 3 These are schematic diagrams of three-dimensional temperature and pressure models, as well as the arrangement of pressure sensors. Figure 3 As shown, based on the temperature and pressure distribution patterns, the air inside the shell is divided into six layers. To avoid the influence of the temperature and pressure loading nozzle, the bottom layer is relatively higher. The upper part of the cylinder is evenly layered. Since the pressure distribution in the upper spherical space is uniform, the temperature distribution is relatively complex. Therefore, in this embodiment, one pressure sensor and three temperature sensors are arranged in the upper spherical space.

[0082] The pressure sensor measuring points and temperature sensor monitoring points are arranged according to the three-dimensional pressure layer model and the three-dimensional temperature layer model, respectively, as follows: Figure 3 , Figure 4 , Figure 5 and Figure 6 As shown, data is collected using a data acquisition instrument, and then the collected data is preprocessed to obtain preprocessed temperature and pressure data.

[0083] The pressure volume contour map data for each layer is determined using the pressure volume contour map data formula mentioned above:

[0084]

[0085] Where YL_layer_i is the pressure volume contour map data of the i-th layer, V j YL_j represents the volume percentage of the j-th pressure sensor in the i-th layer, YL_j represents the pressure data on the j-th pressure sensor, and N represents the total number of pressure sensors in the i-th layer.

[0086] The temperature volume contour map data for each layer is determined using the temperature volume contour map data formula mentioned above:

[0087]

[0088] Where WD_layer_i represents the temperature volumetric cloud map data of the i-th layer, v k WD_k represents the volume percentage of the k-th pressure sensor in the i-th layer, WD_k represents the temperature data on the k-th temperature sensor, and M represents the total number of temperature sensors in the i-th layer.

[0089] The following is based on Figure 3 , Figure 4 , Figure 5 and Figure 6 Taking the sensors arranged in the middle as an example, the pressure volume cloud map data and temperature volume cloud map data of each layer are introduced. In this embodiment, the parameter values ​​of each pressure sensor in the first layer are detailed in Table 1, and the parameter values ​​of each temperature sensor in the first layer are detailed in Table 2:

[0090] Table 1. Parameter values ​​of each pressure sensor in the first layer.

[0091] YL-7 a 251.89 0.5 YL-8 b 251.89 0.5

[0092] It should be noted that the monitoring values ​​in Table 1 correspond to the pre-processed pressure data.

[0093] As shown in Table 1, two pressure sensor monitoring points are arranged in the first layer, numbered YL-7 and YL-8 respectively. According to the calculation formula, the pressure volume cloud map data for the first layer is as follows:

[0094] YL_layer_1 = 0.5*(a+b)

[0095] Table 2. Parameter values ​​of each temperature sensor in the first layer.

[0096] WD-17 c 208.21 0.25 WD-18 d 208.21 0.25 WD-19 e 208.21 0.25 WD-20 f 208.21 0.25

[0097] It should be noted that the monitoring values ​​in Table 2 correspond to the pre-processed temperature data.

[0098] As shown in Table 2, one temperature sensor monitoring point is deployed in the first layer, numbered WD-17, WD-18, WD-19, and WD-20. According to the formula, the temperature volumetric cloud map data for the first layer is:

[0099]

[0100] Figure 7 This is a schematic diagram of a three-dimensional finite element model of a space gas. Figure 8 This is a schematic diagram of sensor location in a three-dimensional finite element model of space gas, where A is the sensor monitoring point and B is a unit diagram used for rendering space gas cloud maps. Figure 7 As shown, a three-dimensional finite element model of the space gas is established, and the model is divided into different parts. The corresponding monitoring points for each sensor are then identified, such as... Figure 8 As shown, the black dots are sensor monitoring points. During the cloud map rendering process, real-time monitoring data (preprocessed temperature data and preprocessed pressure data) can be displayed in the monitoring point number. Color block filling rendering is performed in each layered node unit of the three-dimensional finite element model of space gas to obtain the three-dimensional volume cloud map of temperature and the three-dimensional volume cloud map of pressure.

[0101] The preprocessed temperature and pressure data, along with the obtained three-dimensional temperature and pressure volumetric cloud maps, are sent to the monitoring platform for display to users. Users can view the preprocessed temperature and pressure data in real time, as well as the dynamic display of the distribution of the three-dimensional temperature and pressure volumetric cloud maps.

[0102] Figure 9 This is a diagram of the architecture of a closed-shell temperature and pressure monitoring platform, such as... Figure 9 As shown, it includes:

[0103] The resource layer is mainly used for acquiring temperature and pressure data. It includes hardware and software resources. Hardware resources include sensors, data acquisition instruments, and servers for deploying the monitoring system. Software resources include server operating systems, databases, and some related low-level library functions.

[0104] The data layer is mainly used for processing the data collected from the resource layer. It includes three parts: unified management of sensor monitoring data, simulation calculation model data, and 3D volume cloud map rendering data.

[0105] The functional application layer is mainly used for displaying processed data and 3D volume cloud maps, including finite element model display and sensor monitoring data display functions, as well as model-related operations and displays, including model zooming, zooming, moving, subdividing, item display, temperature and pressure value display, legend data display, etc.

[0106] The above are embodiments of the real-time monitoring method for three-dimensional volumetric cloud maps of temperature and pressure inside a closed shell provided in this application. Other embodiments of the real-time monitoring method for three-dimensional volumetric cloud maps of temperature and pressure inside a closed shell provided in this application are described below.

[0107] Figure 10 A schematic diagram of a three-dimensional volumetric cloud map real-time monitoring device for temperature and pressure inside a closed shell. The device includes: a model building module 101, a monitoring point layout module 102, an acquisition module 103, a processing module 104, a cloud map rendering module 105, and a transmission module 106.

[0108] The model building module 101 obtains the temperature distribution and pressure distribution patterns of the shell during the heating and pressurization process inside the closed shell through simulation, and establishes a three-dimensional temperature layered model and a three-dimensional pressure layered model based on the temperature distribution and pressure distribution patterns.

[0109] The monitoring point layout module 102 is used to determine the layout of the temperature sensor monitoring points and the pressure sensor monitoring points inside the housing based on the three-dimensional temperature layering model and the three-dimensional pressure layering model.

[0110] The data acquisition module 103 is used to acquire temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point.

[0111] The processing module 104 is used to preprocess the temperature data and the pressure data, and determine the temperature volume cloud map data and pressure volume cloud map data of each layer based on the preprocessed temperature data and the preprocessed pressure data.

[0112] The cloud map rendering module 105 is used to input the preprocessed pressure and temperature data, the preprocessed pressure data, and the temperature volume cloud map data and pressure volume cloud map data of each layer into the three-dimensional finite element model of the space gas to perform cloud map rendering and obtain the temperature three-dimensional volume cloud map and the pressure three-dimensional volume cloud map.

[0113] The sending module 106 is used to send the three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure to the monitoring platform.

[0114] Optionally, the pressure volume contour plot data is determined using the following formula:

[0115]

[0116] Where YL_layer_i is the pressure volume contour map data of the i-th layer, V j YL_j represents the volume percentage of the j-th pressure sensor in the i-th layer, YL_j represents the temperature data on the j-th pressure sensor, and N represents the total number of pressure sensors in the i-th layer.

[0117] Optionally, the temperature volume contour map data is determined using the following formula:

[0118]

[0119] Where WD_layer_i represents the temperature volumetric cloud map data of the i-th layer, v k WD_k represents the volume percentage of the k-th pressure sensor in the i-th layer, WD_k represents the temperature data on the k-th temperature sensor, and M represents the total number of temperature sensors in the i-th layer.

[0120] Optionally, the temperature and pressure data may be preprocessed, including:

[0121] Abnormal data in temperature and pressure data are removed, and missing data is imputed.

[0122] The sending module 106 is also used to send the preprocessed temperature data and preprocessed pressure data to the monitoring platform.

[0123] The functions performed by each component in the real-time monitoring device for three-dimensional volume cloud map of temperature and pressure inside the closed shell provided in the embodiments of the present invention have been described in detail in any of the above method embodiments, so they will not be repeated here.

[0124] The real-time monitoring device for three-dimensional volumetric cloud maps of temperature and pressure inside a closed shell provided in this invention obtains the temperature and pressure distribution patterns of the shell during heating and pressurization through simulation, and establishes three-dimensional temperature and pressure layered models based on these patterns. The device then determines the arrangement of temperature and pressure sensor monitoring points within the shell according to these models; acquires temperature data collected by the temperature sensor monitoring points and pressure data collected by the pressure sensor monitoring points; preprocesses the temperature and pressure data, and determines the temperature and pressure volumetric cloud map data for each layer based on the preprocessed data; inputs the preprocessed temperature and pressure data, along with the temperature and pressure volumetric cloud map data for each layer, into a three-dimensional finite element model of the space gas for cloud map rendering to obtain the three-dimensional temperature and pressure volumetric cloud maps; and finally, sends the three-dimensional temperature and pressure volumetric cloud maps to a monitoring platform. This method can solve the problems of data processing lag and inaccurate temperature and pressure value display in current temperature and pressure monitoring. It can be applied to the operational health monitoring of nuclear power plant containment facilities or to similar temperature and pressure monitoring work in enclosed structures.

[0125] like Figure 11 As shown, this application provides an electronic device including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114.

[0126] Memory 113 is used to store computer programs;

[0127] In one embodiment of this application, the processor 111, when executing the program stored in the memory 113, implements the real-time monitoring method of three-dimensional volume cloud map of temperature and pressure inside a closed shell provided in any of the foregoing method embodiments.

[0128] This application also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the real-time monitoring method for three-dimensional volume cloud map of temperature and pressure inside a closed shell as provided in any of the foregoing method embodiments.

[0129] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0130] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0131] The above are merely specific embodiments of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for real-time monitoring of temperature and pressure in a closed shell using three-dimensional volumetric cloud maps, characterized in that, The method includes: The temperature and pressure distribution patterns of the sealed shell during heating and pressurization are obtained through simulation. Based on these patterns, a three-dimensional temperature stratification model and a three-dimensional pressure stratification model are established. The pressure distribution pattern is linearly decreasing towards the surrounding space from the pressure loading area as the starting point. The temperature distribution pattern decreases sequentially from top to bottom within the shell. Based on the three-dimensional temperature stratification model and the three-dimensional pressure stratification model, the arrangement of temperature sensor monitoring points and pressure sensor monitoring points inside the housing is determined. Acquire temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point; The temperature and pressure data are preprocessed, and based on the preprocessed temperature and pressure data, temperature volumetric cloud map data and pressure volumetric cloud map data for each layer are determined; the pressure volumetric cloud map data is determined using the following formula: ,in, For the first Layered pressure volume contour map data, For the first In the layered middle The volume percentage of each pressure sensor It is the first Pressure data from a pressure sensor For the first The total number of pressure sensors in the layer; the temperature volume cloud map data is determined by the following formula: ,in, For the first Layered temperature-volume cloud map data, For the first In the layered middle The volume percentage of each temperature sensor It is the first Temperature data from a temperature sensor, For the first Total number of temperature sensors in the layer; The preprocessed temperature data, the preprocessed pressure data, and the temperature volume cloud map data and pressure volume cloud map data of each layer are input into the three-dimensional finite element model of space gas for cloud map rendering to obtain the three-dimensional temperature volume cloud map and the three-dimensional pressure volume cloud map. The three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure are sent to the monitoring platform.

2. The method according to claim 1, characterized in that, The preprocessing of the temperature data and the pressure data includes: Abnormal data in the temperature and pressure data are removed, and missing data is imputed.

3. The method according to claim 1, characterized in that, The method further includes: The preprocessed temperature data and the preprocessed pressure data are sent to the monitoring platform.

4. A real-time monitoring device for three-dimensional volumetric cloud map of temperature and pressure inside a sealed shell, characterized in that, The device includes: The model building module obtains the temperature and pressure distribution patterns of the sealed shell during heating and pressurization through simulation, and establishes a three-dimensional temperature layered model and a three-dimensional pressure layered model based on the temperature and pressure distribution patterns. The pressure distribution pattern is linearly decreasing towards the surrounding space from the pressure loading area as the starting point; the temperature distribution pattern is decreasing sequentially from top to bottom within the shell. The monitoring point layout module is used to determine the layout of the temperature sensor monitoring points and the pressure sensor monitoring points inside the housing based on the three-dimensional temperature layering model and the three-dimensional pressure layering model. The data acquisition module is used to acquire temperature data collected by the temperature sensor monitoring point and pressure data collected by the pressure sensor monitoring point. The processing module is used to preprocess the temperature data and the pressure data, and based on the preprocessed temperature data and pressure data, determine the temperature volume cloud map data and pressure volume cloud map data for each layer; the pressure volume cloud map data is determined by the following formula: ,in, For the first Layered pressure volume contour map data, For the first In the layered middle The volume percentage of each pressure sensor It is the first Pressure data from a pressure sensor, For the first The total number of pressure sensors in the layer; the temperature volume cloud map data is determined by the following formula: ,in, For the first Layered temperature-volume cloud map data, For the first In the layered middle The volume percentage of each temperature sensor It is the first Temperature data from a temperature sensor, For the first Total number of temperature sensors in the layer; The cloud map rendering module is used to input the preprocessed temperature data, the preprocessed pressure data, and the temperature volume cloud map data and pressure volume cloud map data of each layer into the three-dimensional finite element model of the space gas, and perform cloud map rendering to obtain the temperature three-dimensional volume cloud map and the pressure three-dimensional volume cloud map. The sending module is used to send the three-dimensional volumetric cloud map of temperature and the three-dimensional volumetric cloud map of pressure to the monitoring platform.

5. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of the real-time monitoring method for three-dimensional volume cloud map of temperature and pressure inside a closed shell as described in any one of claims 1-3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the real-time monitoring method for three-dimensional volume cloud map of temperature and pressure inside a closed shell as described in any one of claims 1-3.

Images